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Random variable has been defined as a 'function' which assumes real value on the outcomes of a random experiment. In repeated performances of the random experiment, the random variable will in general assume different values with a definite probability associated with each value or interval of values.
Probability Distribution (or simply distribution) of a random variable is a statement specifying the set of its possible values together with their respective probabilities. When a random experiment is theoretically assumed to serve as a model, the probabilities can be given as a function of the random variable. The probability distribution concerned is then generally known as theoretical distribution including Binomial distribution, Poisson distribution, Hypergeometric distribution, and Normal distribution.
Probability Distribution (or simply distribution) of a random variable is a statement specifying the set of its possible values together with their respective probabilities. When a random experiment is theoretically assumed to serve as a model, the probabilities can be given as a function of the random variable. The probability distribution concerned is then generally known as theoretical distribution including Binomial distribution, Poisson distribution, Hypergeometric distribution, and Normal distribution.
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